Podcasts about Los Alamos National Laboratory

Much of what we take for granted in the IT industry was seeded from HPC and the national labs. This episode of Utilizing Tech features Gary Grider, HPC Division Leader at Los Alamos National Labs, discussing leading-edge technology with Scott Shadley of Solidigm⁠⁠⁠ and Stephen Foskett. The Efficient Mission Centric Computing Consortium (EMC3) is working to bring technologies like sparse memory access and computational storage to life. These technologies are designed for today's massive scale data sets, but Moore's Law suggests that this scale might be coming soon to AI applications and beyond. The goal of the national labs is to work 5-10 years ahead of the market to lay the foundations for what will be needed in the future. Specific products like InfiniBand, Lustre, pNFS, and more were driven forward by these labs as well. Some promising future directions include 3D chip scaling, analog and biological computing, and quantum chips.Guest: Gary Grider, HPC Division Leader at Los Alamos National LabsHosts: ⁠⁠Stephen Foskett⁠⁠, President of the Tech Field Day Business Unit and Organizer of the ⁠⁠Tech Field Day Event Series⁠⁠⁠⁠Jeniece Wnorowski⁠⁠, Head of Influencer Marketing at ⁠⁠Solidigm⁠⁠ ⁠⁠Scott Shadley⁠⁠, Leadership Narrative Director and Evangelist at ⁠⁠Solidigm⁠⁠Follow Tech Field Day ⁠⁠on LinkedIn⁠⁠, ⁠⁠on X/Twitter,⁠⁠ ⁠⁠on Bluesky⁠⁠, and ⁠⁠on Mastodon⁠⁠. Visit the ⁠⁠Tech Field Day website⁠⁠ for more information on upcoming events. For more episodes of Utilizing Tech, head to ⁠⁠the dedicated website⁠⁠ and follow the show ⁠⁠on X/Twitter⁠⁠, ⁠⁠on Bluesky⁠⁠, and ⁠⁠on Mastodon⁠⁠.

Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Naveen Jain. He is an indomitable force fueled by unyielding curiosity and an unwavering commitment to propel humanity toward a future of limitless possibilities. As the Founder and CEO of Viome, Naveen spearheads a revolution in personalized health and human longevity that extends far beyond conventional approaches. Viome's groundbreaking mRNA analysis with an AI-driven platform analyzes the intricate interplay between food, our microbiome, and our human cells and pioneers early diagnostics and preventative wellness strategies. By decoding the molecular information within each individual, Viome aims to empower people to take proactive steps towards health and longevity, preventing chronic diseases before they manifest. Naveen's visionary leadership has garnered numerous accolades, reflecting his unwavering dedication and trailblazing spirit. From being recognized as "Entrepreneur of the Year" by Ernst & Young to receiving the esteemed "Most Creative Person" title from Fast Company, his exceptional contributions have left an indelible mark. Naveen's brilliance and philanthropic endeavors have earned him prestigious honors, including the esteemed "Lifetime Achievement Award" by Red Herring and the notable "Medal of Honor" by Ellis Island. Notably, Town & Country Magazine celebrated him as one of the "Top 50 Philanthropists," further underscoring his commitment to making a meaningful impact. Company Description *We provide the industry’s only direct-to-consumer healthcare test that analyzes microbial and human gene expressions (mRNA), with technology exclusively licensed from Los Alamos National Lab, in order to provide individuals with health insights and the nutrition they need. By joining Viome, you are joining a revolutionary movement. A movement that – for the first time in human history – will make becoming ill a matter of choice, and not simply bad luck. Scientists have worked for over a decade to develop this technology that offers unprecedented visibility into your body. With this, we can create a unique profile of the biochemistry and ecosystem inside of you, and make personalized, actionable, and adaptive recommendations for your health. Our at-home tests are not just one-time tests, but your true health companion, enabling you to monitor your health over time. Your results and recommendations adapt to your changing ecosystem so you are always aware and taking action towards maximizing your vitality and lifespan. The Viome team is made up of scientists, engineers, researchers and entrepreneurs who are passionate about radically improving the wellness of our customers. #BEST #STRAW #SHMSSupport the show: https://www.steveharveyfm.com/See omnystudio.com/listener for privacy information.

Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Naveen Jain. He is an indomitable force fueled by unyielding curiosity and an unwavering commitment to propel humanity toward a future of limitless possibilities. As the Founder and CEO of Viome, Naveen spearheads a revolution in personalized health and human longevity that extends far beyond conventional approaches. Viome's groundbreaking mRNA analysis with an AI-driven platform analyzes the intricate interplay between food, our microbiome, and our human cells and pioneers early diagnostics and preventative wellness strategies. By decoding the molecular information within each individual, Viome aims to empower people to take proactive steps towards health and longevity, preventing chronic diseases before they manifest. Naveen's visionary leadership has garnered numerous accolades, reflecting his unwavering dedication and trailblazing spirit. From being recognized as "Entrepreneur of the Year" by Ernst & Young to receiving the esteemed "Most Creative Person" title from Fast Company, his exceptional contributions have left an indelible mark. Naveen's brilliance and philanthropic endeavors have earned him prestigious honors, including the esteemed "Lifetime Achievement Award" by Red Herring and the notable "Medal of Honor" by Ellis Island. Notably, Town & Country Magazine celebrated him as one of the "Top 50 Philanthropists," further underscoring his commitment to making a meaningful impact. Company Description *We provide the industry’s only direct-to-consumer healthcare test that analyzes microbial and human gene expressions (mRNA), with technology exclusively licensed from Los Alamos National Lab, in order to provide individuals with health insights and the nutrition they need. By joining Viome, you are joining a revolutionary movement. A movement that – for the first time in human history – will make becoming ill a matter of choice, and not simply bad luck. Scientists have worked for over a decade to develop this technology that offers unprecedented visibility into your body. With this, we can create a unique profile of the biochemistry and ecosystem inside of you, and make personalized, actionable, and adaptive recommendations for your health. Our at-home tests are not just one-time tests, but your true health companion, enabling you to monitor your health over time. Your results and recommendations adapt to your changing ecosystem so you are always aware and taking action towards maximizing your vitality and lifespan. The Viome team is made up of scientists, engineers, researchers and entrepreneurs who are passionate about radically improving the wellness of our customers. #BEST #STRAW #SHMSSee omnystudio.com/listener for privacy information.

Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Naveen Jain. He is an indomitable force fueled by unyielding curiosity and an unwavering commitment to propel humanity toward a future of limitless possibilities. As the Founder and CEO of Viome, Naveen spearheads a revolution in personalized health and human longevity that extends far beyond conventional approaches. Viome's groundbreaking mRNA analysis with an AI-driven platform analyzes the intricate interplay between food, our microbiome, and our human cells and pioneers early diagnostics and preventative wellness strategies. By decoding the molecular information within each individual, Viome aims to empower people to take proactive steps towards health and longevity, preventing chronic diseases before they manifest. Naveen's visionary leadership has garnered numerous accolades, reflecting his unwavering dedication and trailblazing spirit. From being recognized as "Entrepreneur of the Year" by Ernst & Young to receiving the esteemed "Most Creative Person" title from Fast Company, his exceptional contributions have left an indelible mark. Naveen's brilliance and philanthropic endeavors have earned him prestigious honors, including the esteemed "Lifetime Achievement Award" by Red Herring and the notable "Medal of Honor" by Ellis Island. Notably, Town & Country Magazine celebrated him as one of the "Top 50 Philanthropists," further underscoring his commitment to making a meaningful impact. Company Description *We provide the industry’s only direct-to-consumer healthcare test that analyzes microbial and human gene expressions (mRNA), with technology exclusively licensed from Los Alamos National Lab, in order to provide individuals with health insights and the nutrition they need. By joining Viome, you are joining a revolutionary movement. A movement that – for the first time in human history – will make becoming ill a matter of choice, and not simply bad luck. Scientists have worked for over a decade to develop this technology that offers unprecedented visibility into your body. With this, we can create a unique profile of the biochemistry and ecosystem inside of you, and make personalized, actionable, and adaptive recommendations for your health. Our at-home tests are not just one-time tests, but your true health companion, enabling you to monitor your health over time. Your results and recommendations adapt to your changing ecosystem so you are always aware and taking action towards maximizing your vitality and lifespan. The Viome team is made up of scientists, engineers, researchers and entrepreneurs who are passionate about radically improving the wellness of our customers. #BEST #STRAW #SHMSSteve Harvey Morning Show Online: http://www.steveharveyfm.com/See omnystudio.com/listener for privacy information.

Virginia Manner Scientist/Chemist at Los Alamos National Laboratory, comes in to talk about her research, which is studying better, safer ways to test and handle explosives with TJ on News Radio KKOBSee omnystudio.com/listener for privacy information.

Episode 127 In part 21 of our Sinai and Synapses interview series, we are talking with Rabbi Dr Jack Shlachter.    Jack Shlachter is a physicist who worked at Los Alamos National Laboratory for over thirty years with briefer stints at Brookhaven National Laboratory in New York, the Atomic Energy Agency, and the Comprehensive Test Ban Treaty Organization, the latter two based in Vienna, Austria; he led both the Physics Division and Theoretical Division during his LANL career. In parallel, Jack is an ordained rabbi who led the Jewish congregation in Los Alamos for many years, was the rabbi in Center Moriches, NY, during his years at Brookhaven, and now serves as rabbi of HaMakom, a congregation in Santa Fe, NM as well as the Los Alamos Jewish Center. He has also provided itinerant rabbinic support to far-flung Jewish communities including those in Vienna, Austria,  Beijing, China, and Warsaw, Poland.   Sinai and Synapses - https://sinaiandsynapses.org/   Support this podcast on Patreon at https://www.patreon.com/DowntheWormholepodcast   More information at https://www.downthewormhole.com/   produced by Zack Jackson music by Zack Jackson and Barton Willis 

Public comments for the draft Site-Wide Environmental Impact Statement forContinued Operations at Los Alamos National Laboratory are currently due onThursday, April 10th. Tewa Women United, Honor Our Pueblo Existence, CCNS,Communities for Clean Water, and the Union of Concerned Scientists will hostworkshops to assist you in the preparation and submission of your comments.Comments may be submitted to LANLSWEIS@nnsa.doe.gov

In this episode we discuss how Tozer helped me get recruited out of high school, and we discuss the movie Oppenheimer, given that Tozer spent more than a decade at the Los Alamos National Laboratory.

Public comments for the draft Site-Wide Environmental Impact Statement forContinued Operations at Los Alamos National Laboratory are currently due onThursday, April 10th. CCNS, Tewa Women United, Three Sisters Collective,Communities for Clean Water and others will host two workshops to assist you inpreparing your comments.

Dr. Emma Louise Spanswick is an Associate Professor and a Natural Sciences and Engineering Research Council Tier II Canada Research Chair in Geospace Dynamics and Space Plasma Physics in the Department of Physics and Astronomy at the University of Calgary. Emma studies the Earth's natural space environment, which is connected to our upper atmosphere and extends into the region around the Earth. Emma's research examines this environment using remote sensing to examine the physics of the dynamics of the space environment, and they also investigate space weather, which encompasses all phenomena in space that can impact systems and technologies that are in orbit and on Earth. As part of her work, Emma also develops and designs remote sensing instruments and deploys them in the field to collect data. Outside of science, Emma spends much of her time with her family, including her two sons. They enjoy hiking, mountain biking, and being outdoors together. Emma's hobbies also include boxing and going to the gym for a good workout. She completed her undergraduate studies in physics and was awarded her PhD in physics from the University of Calgary. Next, she worked at Los Alamos National Lab as a Visiting Scientist. Afterwards, she returned to the University of Calgary as a Research Scientist, and subsequently the Associate Director of the Auroral Imaging Group, before joining the faculty there in 2019. Emma was among researchers who received the 2018 Robert H. Goddard Award for Exceptional Achievement in Science, and she has been named among Avenue Magazine Calgary's Top 40 Under 40. In this interview, she shares more about her life and science.

Hosts Laurie Fitz and Rick Bernardo visit with Nara Logics‘ CEO and Board Member, Jana Eggers, for “What the Heck Is A.I.?” If you want to begin coming to grips with AI—its past and its future implications—now’s your chance. With over 30 years of technology and leadership experience from Intuit, Lycos, American Airlines, Los Alamos National Laboratory, and…

Dr. Al Grauer hosts. Dr. Albert D. Grauer ( @Nmcanopus ) is an observational asteroid hunting astronomer. Dr. Grauer retired from the University of Arkansas at Little Rock in 2006. travelersinthenight.org From September & October 2024. Today's 2 topics: - Collect your own beautiful micro-meteorite sample.  It is estimated that several hundred thousand pounds of left over particles from the formation of our solar system enters the Earth's atmosphere every day with perhaps 10% of the of the total reaching the surface of our home planet. The individual grains of cosmic dust or micro-meteorites as they are also called range in size from the diameter of a human hair to twice the thickness of a dime. - To discover what would happen if an asteroid were to strike a large body of water, Dr. Galen Gisler led a team of scientists who used high performance computing facilities at Los Alamos National Laboratory to calculate and visualize a 3-D model of an asteroid entering the Earth's atmosphere over one of the world's oceans. These efforts won them the Best Visualization and Data Analytics Showcase award at Supercomputing 2016. Reality is that what happens depends upon the mass, size, speed, angle of approach, and composition of the impacting object. Galen's group of scientists documented the hunch that since an asteroid strikes the water at a single point, it only effects the immediate region around the impact point, whereas to create a tsunami, you need something like an under water landslide which disturbs an entire water column from the ocean floor to the surface.   We've added a new way to donate to 365 Days of Astronomy to support editing, hosting, and production costs.  Just visit: https://www.patreon.com/365DaysOfAstronomy and donate as much as you can! Share the podcast with your friends and send the Patreon link to them too!  Every bit helps! Thank you! ------------------------------------ Do go visit http://www.redbubble.com/people/CosmoQuestX/shop for cool Astronomy Cast and CosmoQuest t-shirts, coffee mugs and other awesomeness! http://cosmoquest.org/Donate This show is made possible through your donations.  Thank you! (Haven't donated? It's not too late! Just click!) ------------------------------------ The 365 Days of Astronomy Podcast is produced by the Planetary Science Institute. http://www.psi.edu Visit us on the web at 365DaysOfAstronomy.org or email us at info@365DaysOfAstronomy.org.

Dr. Michael Houts is an esteemed scientist with a rich background in mechanical and nuclear engineering and advanced propulsion systems for space exploration. Dr. Houts shares his journey of growing up outside the church with a strong belief in science, questioning the limitations of naturalistic explanations, and ultimately finding belief in God through a thorough investigation of the Bible. Guest Bio: Michael Houts is a dedicated scientist whose journey began with a passion for science and engineering. He earned bachelor's degrees in mechanical and nuclear engineering from the University of Florida and a PhD in nuclear engineering from MIT. He spent 11 years at Los Alamos National Laboratory, where he held key roles including team leader for criticality reactor and radiation physics. Now, Michael is a nuclear research manager at the Marshall Space Flight Center, working on advanced propulsion systems to boost space exploration. Resources Mentioned: Apologetics Press: https://apologeticspress.org/ Connect with eX-skeptic: Website: https://exskeptic.org/ Facebook: http://www.facebook.com/exskeptic Instagram: http://www.instagram.com/exskeptic Twitter: http://x.com/exskeptic YouTube: https://www.youtube.com/@exskeptic Email info: info@exskeptic.org

Earlier this week the U.S. Forest Service admitted that it has limited authority and oversight of Los Alamos National Laboratory's proposed Electrical Power Capacity Upgrade Project, or EPCU, that would transmit 173 megawatts of energy across sacred National Forest System lands. The admission made in its 35-page Response to Comments document to complete its role in the environmental assessment process.

“Evolutionary architecture became a necessity, not because anybody wanted it to be, but because you didn't have a choice. You have to be able to change your systems to keep up with changing business and consumer expectations, let alone regulatory frameworks.” In this episode, I have an insightful conversation with Rebecca Parsons, coauthor of Building Evolutionary Architectures and ex-CTO of ThoughtWorks, on the topic of evolutionary architecture. Rebecca shares the definition and principles of evolutionary architecture, as well as some important practices that software engineering teams can adopt to support it. Rebecca also offers her perspective on the impact of AI in software development and evolutionary architecture. Key takeaways: - Evolutionary architecture supports guided, incremental change across multiple dimensions. - Fitness functions are a key tool for implementing evolutionary architecture. - Some of the important engineering practices for evolutionary architecture include continuous delivery, evolutionary database, contract testing, and choreography over orchestration. - AI coding assistants can help analyze and understand complex legacy systems, aiding in refactoring and modernization efforts. - Over-reliance on AI coding assistants may hinder the development of proper abstraction and critical thinking skills, especially in junior developers. Listen out for: (00:02:35) Career Turning Points (00:08:38) Why Adopt Evolutionary Architecture (00:11:06) Evolutionary vs Rewrite (00:13:41) Architecture Definition (00:16:45) Evolutionary Architecture Adoption (00:20:56) Evolutionary Architecture Definition (00:22:32) Fitness Function (00:26:07) Commonly Adopted Fitness Functions (00:29:33) Principles of Evolutionary Architecture (00:35:24) Conway's Law & Postel's Law (00:39:40) Practices of Evolutionary Architecture (00:45:41) The Impact of AI to Evolutionary Architecture (00:48:44) The AI Worries (00:52:32) 3 Tech Lead Wisdom _____ Rebecca Parsons' BioDr. Rebecca Parsons is currently independent, having been Thoughtworks CTO and CTO Emerita for over 15 years. She has more years of experience than she'd like to admit in technology and large-scale software development. She recently co-authored the book Building Evolutionary Architectures with Neal Ford and Pat Kua. Before ThoughtWorks she worked as an assistant professor of computer science at the University of Central Florida, after completing a Director's Post Doctoral Fellowship at the Los Alamos National Laboratory. Her interests include parallel and distributed computation, programming languages, domain specific languages, evolutionary architecture, genetic algorithms, and computational science. Rebecca received a BS in Computer Science and Economics from Bradley University, and both an MS and Ph.D. in Computer Science from Rice University. Follow Rebecca: LinkedIn – linkedin.com/in/dr-rebecca-parsons X – x.com/rebeccaparsons

Farmer is the Baillie Gifford Professor of Complex Systems at Oxford's Institute for New Economic Thinking. Before joining Oxford in 2012, he worked at Los Alamos National Laboratory and the Santa Fe Institute, where he studied complex systems and economic dynamics. During the 1990s, he took a break from academia to run a successful quantitative trading firm using statistical arbitrage strategies.Farmer has been a pioneer in chaos theory and complexity economics, including the development of agent-based models to understand economic phenomena. His work spans from housing markets to climate change, and he recently authored Making Sense of Chaos exploring complexity science and economic modeling.In This Episode* What is complexity economics? (1:23)* Compliment or replacement for traditional economics (6:55)* Modeling Covid-19 (11:12)* The state of the science (15:06)* How to approach economic growth (20:44)Below is a lightly edited transcript of our conversation. What is complexity economics? (1:23)We really can model the economy as something dynamic that can have its own business cycles that come from within the economy, rather than having the economy just settle down to doing something static unless it's hit by shocks all the time, as is the case in mainstream models.Pethokoukis: What does the sort of economics that people would learn, let's say, in the first year of college, they might learn about labor and capital, supply-demand equilibrium, rational expectations, maybe the importance of ideas. How does that differ from the kind of economics you are talking about? Are you looking at different factors?Farmer: We're really looking at a completely different way of doing economics. Rather than maximizing utility, which is really the central conceptual piece of any standard economic model, and writing down equations, and deducing the decision that does that, we simulate the economy.We assume that we identify who the agents in the and economy are, who's making the decisions, what information do they have available, we give them methods of making the decisions — decision-making rules or learning algorithms — and then they make decisions, those decisions have economic impact, that generates new information, other information may enter from the outside, they make decisions, and we just go around and around that loop in a computer simulation that tries to simulate what the economy does and how it works.You've been writing about this for some time. I would guess — perhaps I'm wrong — that just having more data and more computer power has been super helpful over the past 10 years, 20 years.It's been super helpful for us. We take much more advantage of that than the mainstream does. But yes, computers are a billion times more powerful now than they were when Herb Simon first suggested this way of doing things, and that means the time is ripe now because that's not a limiting factor anymore, as it was in the past.So if you're not looking at capital and labor per se, then what are the factors you're looking at?Well, we do look at capital and labor, we just look at them in a different way. Our models are concerned about how much capital is there to invest, what labor is available. We do have to assign firms production functions that tells, given an amount of capital and labor and all their other inputs, how much can the firms produce? That part of the idea is similar. It's a question of the way the decision about how much to produce is made, or the way consumers decide how much to consume, or laborers decide at what price to provide their labor. All those parts are different.Another difference — if I'm understanding it correctly — is, rather than thinking about economies that tend toward equilibrium and focusing how outside shocks may put an economy in disequilibrium, you're looking a lot more at what happens internally. Am I correct?We don't assume equilibrium. Equilibrium, it has two senses in economics: One is supply equals demand. We might or might not run a model where we assume that. In many models we don't, and if that happens, that's great, but it's an outcome of the model rather than an assumption we put in at the beginning.There's another sense of equilibrium, which is that everybody's strategy is lined up. You've had time to think about what you're doing, I've had time to think about what I'm doing, we've both come to the optimal decision for each of us to make, taking the other one into account. We don't assume that, as standard models typically do. We really can model the economy as something dynamic that can have its own business cycles that come from within the economy, rather than having the economy just settle down to doing something static unless it's hit by shocks all the time, as is the case in mainstream models. We still allow shocks to hit our models, but the economy can generate dynamics even without those shocks.This just popped in my head: To whom would this model make more intuitive sense, Karl Marx or Adam Smith?Adam Smith would like these models because they really allow for emergent behavior. That is, Smith's whole point was that the economy is more than the sum of its parts, that we get far more out of specializing than we do out of each acting like Robinson Crusoes. Our way of thinking about this gets at that very directly.Marx might actually like it too, perhaps for a different reason. Marx was insightful in understanding the economy as being like, what I call in the book, the “metabolism of civilization.” That is, he really did recognize the analogy between the economy and the metabolism, and viewed labor as what we put together with natural resources to make goods and services. So those aspects of the economy are also embodied in the kind of models we're making.I think they both like it, but for different reasons.Compliment or replacement for traditional economics (6:55)There are many problems where we can answer questions traditional methods can't even really ask.The way I may have framed my questions so far is that you are suggesting a replacement or alternative. Is what you're suggesting, is it one of those things, or is it a compliment, or is it just a way of looking at the world that's better at answering certain kinds of questions?I think the jury is out to find the answer to that. I think it is certainly a compliment, and that we're doing things very differently, and there are some problems where this method is particularly well-suited. There are many problems where we can answer questions traditional methods can't even really ask.That said, I think time will tell to what extent this replaces the traditional way of doing economics. I don't think it's going to replace everything that's done in traditional economics. I think it could replace 75 percent of it — but let me put an asterisk by that and say 75 percent of theory. Economists do many different things. One thing economists do is called econometrics, where they take data and they build models just based on the data to infer things that the data is telling them. We're not talking about that here. We're talking about theories where economists attempt to derive the decisions and economic outcomes from first principles based on utility maximization. That's what we're talking about providing an alternative to. The extent to which it replaces that will be seen as time will tell.When a big Wall Street bank wants to make a forecast, they're constantly incorporating the latest jobless claims numbers, industrial production numbers, and as those numbers get updated, they change their forecasts. You're not using any of that stuff?Well, no. We can potentially could ingest any kind of data about what's going on.But they're looking at big, top-down data while you're bottom-up, you're sort of trying to duplicate the actual actors in the economy.That is true, but we can adjust what's at the bottom to make sure we're matching initial conditions. So if somebody tells us, “This is the current value of unemployment,” we want to make sure that we're starting our model out, as we go forward, with the right level of unemployment. So we will unemploy some of the households in our model in order to make sure we're matching the state of unemployment right now and then we start our simulation running forward to see where the economy goes from here.I would think that the advent of these large language models would really take this kind of modeling to another level, because already I'm seeing lots of papers on their ability to . . . where people are trying to run experiments and, rather than using real people, they're just trying to use AI people, and the ability to create AI consumers, and AI in businesses — it would have to be a huge advance.Yes. This is starting to be experimented with for what we do. People are trying to use large language models to model how people actually make decisions, or let's say, to simulate the way people make decisions, as opposed to an idealized person that makes perfect decisions. That's a very promising line of attack to doing this kind of modeling.Large language models also can tell us about other things that allow us to match data. For example, if we want to use patents as an input in our modeling — not something we're doing yet, but we've done a lot of studies with patents — one can use large language models to match patents to firms to understand which firms will benefit from the patents and which firms won't. So there are many different ways that large language models are likely to enter going forward, and we're quite keen to take advantage of those.Modeling Covid-19 (11:12)We predicted a 21.5 percent hit to UK GDP in the second quarter of 2020. When the dust settled a year later, the right answer was 22.1. So we got very close.Tell me, briefly, about your work with the Covid outbreak back in 2020 and what your modeling said back then and how well it worked.When the pandemic broke out, we realized right away that this was a great opportunity to show the power of the kind of economic modeling that we do, because Covid was a very strong and very sudden shock. So it drove the economy far out of equilibrium. We were able to predict what Covid would do to the UK economy using two basic ideas: One is, we predicted the shock. We did that based on things like understanding a lot about occupational labor. The Bureau of Labor Statistics compiles tables about things like, in a given occupation, how close together do people typically work? And so we assumed if they worked closer together than two meters, they weren't going to be able to go to their job. That combined with several other things allowed us to predict how big the shock would be.Our model predicted how that shock would be amplified through time by the action of the economy. So in the model we built, we put a representative firm in every sector of the economy and we assumed that if that firm didn't have the labor it needed, or if it didn't have the demand for its product, or if it didn't have the inputs it needed, it wouldn't be able to produce its product and the output would be reduced proportional to any of those three limiting factors.And so we started the model off on Day One with an inventory of inputs that we read out of a table that government statistical agencies had prepared for each sector of the economy. And we then just looked, “Well, does it have the labor? Does it have demand? Does it have the goods?” If yes, it can produce at its normal level. If it's lacking any of those, it's going to produce at a lower level. And our model knew the map of the economy, so it knew which industries are inputs to which other industries. So as the pandemic evolved day by day, we saw that some industries started to run out of inputs and that would reduce their output, which, in turn, could cause other industries to run out of their inputs, and so on.That produced quite a good prediction. We predicted a 21.5 percent hit to UK GDP in the second quarter of 2020. When the dust settled a year later, the right answer was 22.1. So we got very close. We predicted things pretty well, industry by industry. We didn't get them all exactly right, but the mistakes we made averaged out so that we got the overall output right, and we got it right through time.We ran the model on several different scenarios. At the time, this was in April of 2020, the United Kingdom was in a lockdown and they were trying to decide what to do next, and we tested several different scenarios for what they might do when they emerged from the full lockdown. The one that we thought was the least bad was keeping all the upstream industries like mining, and forestry, and so on open, but closing the downstream, customer-facing industries like retail businesses that have customers coming into their shop, or making them operate remotely. That was the one they picked. Already when they picked it, we predicted what would happen, and things unfolded roughly as we suggested they would.The state of the science (15:06)Mainstream models can only model shocks that come from outside the economy and how the economy responds to those shocks. But if you just let the model sit there and nothing changes, it will just settle down and the economy will never change.I'm old enough to remember the 1990s and remember a lot of talk about chaos and complexity, some of which even made it into the mainstream, and Jurassic Park, which may be the way most people heard a little bit about it. It's been 30 years. To what extent has it made inroads into economic modeling at central banks or Wall Street banks? Where's the state of the science? Though it sounds like you're really taking another step forward here with the book and some of your latest research.Maybe I could first begin just by saying that before Jurassic Park was made, I got a phone call and picked up the phone, and the other end of the line said, “Hi, this is Jeff Goldblum, have you ever heard of me?” I said, “Yeah.” And he said, “Well, we're making this movie about dinosaurs and stuff, and I'm going to play a chaos scientist, and I'm calling up some chaos scientists to see how they talk.” And so I talked to Jeff Goldblum for about a half an hour. A few of my other friends did too. So anyway, I like to think I had a tiny little bit of impact on the way he behaved in the movie. There were some parallels that it seemed like he had lifted.Chaos, it's an important underlying concept in explaining why the weather is hard to predict, it can explain some forms of heart arrhythmias, we use it to explain some of the irregular behavior of ice ages. In economics, it was tossed around in the '90s as something that might be important and rejected. As I described in the book, I think it was rejected for the wrong reasons.I'm proposing chaos, the role it plays in here is that, there's a debate about business cycles. Do they come from outside? The Covid pandemic was clearly a business cycle that came from outside. Or do they come from inside the economy? The 2008 financial crisis, I would say, is clearly one that came from inside the economy. Mainstream models can only model shocks that come from outside the economy and how the economy responds to those shocks. But if you just let the model sit there and nothing changes, it will just settle down and the economy will never change.In contrast, the kinds of models we build often show what we call endogenous business cycles, meaning business cycles that the model generates all on its own. Now then, you can ask, “Well, how could it do that?” Well, basically the only plausible way it can do that is through chaos. Because chaos has two properties: One is called sensitive dependence on initial conditions, meaning tiny changes in the present can cause large changes in the future; but the other is endogenous motion, meaning motion that comes from within the system itself, that happens spontaneously, even in very simple systems of equations.Would something like consumer pessimism, would that be an external shock or would something more internal where everybody, they're worried about the futures, then they stop spending as much money? How would that fit in?If the consumer pessimism is due to the fear of a nuclear war, I would say it's outside the economy, and so that's an external shock. But if it's caused by the fact that the economy just took a big nose dive for an internal reason, then it's part of the endogenous dynamicsI spent many years as a journalist writing about why the market's going up, the market's going down, and by the end of the day, I had to come up with a reason why the market moved, and I could — I wasn't always quite confident, because sometimes it wasn't because of a new piece of data, or an earnings report, they just kind of moved, and I had no real reason why, even though I had to come up . . . and of course it was when I was doing that was when people started talking about chaos, and it made a lot of intuitive sense to me that things seem to happen internally in ways that, at least at the time, were utterly unpredictable.Yeah, and in fact, one of the studies I discuss in the book is by Cutler, Poterba, and Summers — the Summers would be Larry Summers — where they did something very simple, they just got the 100 largest moves of the S&P index, they looked up what the news was the next day about why they occurred in the New York Times, and they subjectively marked the ones that they thought were internally driven, versus the ones that were real news, and they concluded they could only find news causes for about a third of them.There is always an explanation in the paper; actually, there is one day on the top 12 list where the New York Times simply said, “There appears to be no cause.” That was back in the '40s, I don't think journalists ever say that anymore. I don't think their paper allows them to do it, but that's probably the right answer about two-thirds of the time, unless you count things like “investors are worried,” and, as I point out in the book, if the person who invests your money isn't worried all the time, then you should fire them because investors should worry.There are internal dynamics to markets, I actually show some examples in the book of simple models that generate that kind of internal dynamics so that things change spontaneously.How to approach economic growth (20:44)I'm not saying something controversial when I say that technological change is the dominant driver of economic growth, at least for the economy as a whole. You recently founded a company, Macrocosm, trying to put some of these ideas to work to address climate change, which would seem to be a very natural use for this kind of thinking. What do you hope to achieve there?We hope to provide better guidance through the transition. We're trying to take the kind of things we've been doing as academics, but scale them up and reduce them to practice so they can be used day-in and day-out to make the decisions that policymakers and businesspeople need to make as the transition is unfolding. We hope to be able to guide policymakers about how effective their policies will be in reducing emissions, but also in keeping the economy going and in good shape. We hope to be able to advise businesses and investors about what investments to make to make a profit while we reduce emissions. And we think that things have changed so that climate change has really become an opportunity rather than a liability.I write a lot about economic growth and try to figure out how it works, what are the key factors. . . What insights can you give me, either on how you think about growth and, since I work at a think tank, the kind of policies you think policy makers should be thinking about, or how should they think about economic growth, since that seems to be on top-of-mind in every rich country in the world right now?I'm not saying something controversial when I say that technological change is the dominant driver of economic growth, at least for the economy as a whole. And we've spent a lot of time studying technological change by just collecting data and looking for the patterns in that data: What does the technology cost through time and how rapidly is it deployed? We've done this for 50 or 60 technologies where we look at past technological transitions, because typically, as a technology is coming in, it's replacing something else that's going out, and what we've seen are a couple of striking things:One is, many technologies don't really improve very much over time, at least in terms of cost. Fossil fuels cost about the same as they did 140 years ago once you adjust for inflation. In fact, anything we mine out of the ground costs about the same as it did a hundred years ago.In contrast, solar energy from solar photovoltaic panels costs 1/10,000th what it did when it was introduced in the Vanguard satellite in 1958. Transistors have been going down at 40 percent per year, so they cost about a billionth of what they did back in 1960. So some technologies really make rapid progress, and the economy evolves by reorganizing itself around the technologies that are making progress. So for example, photography used to be about chemistry and film. Photography now is about solid-state physics because it just unhitched from one wagon and hitched itself to another wagon, and that's what's happening through the energy transition. We're in the process of hitching our wagon to the technologies that have been making rapid progress, like solar energy, and wind energy, and lithium ion batteries, and hydrogen catalyzers based on green energy.I think we can learn a lot about the past, and I think that when we look at what the ride should be like, based on what we understand, we think the transition is going to happen faster than most people think, and we think it will be a net saving of moneySo then how do you deal with a wild card, which I think if you look at the past, nuclear power seems like it's super expensive, no progress being made, but, theoretically, there could be — at least in the United States — there could be lots of regulatory changes that make it easier to build. You have all these venture capital firms pouring money into these nuclear startups with small reactors, or even nuclear fusion. So a technology that seems like it's a mature technology, it might be easy to chart its future, all of a sudden maybe it's very different.I'm not arguing we should get rid of nuclear reactors until they run their normal lifetime and need to be gotten rid of, but I think we will see that that is not going to be the winning technology in the long run, just because it's going to remain expensive while solar energy is going to become dirt cheap.In the early days, nuclear power had faced a very favorable regulatory environment. The first nuclear reactors were built in the '50s. Until Three Mile Island and Chernobyl happened, it was a very regulatorily friendly environment and they didn't come down in cost. Other countries like France have been very pro-nuclear. They have very expensive electricity and will continue to do so.I think the key thing we need to do is focus on storage technologies like green hydrogen. Long-term storage batteries have already come down to a point where they're beginning to be competitive; they will continue to do so. And in the future, I think we'll get solid-state storage that will make things quite cheap and efficient, but I don't think small modular reactors are going to ever be able to catch up with solar and wind at this point.On sale everywhere The Conservative Futurist: How To Create the Sci-Fi World We Were PromisedMicro Reads▶ Economics* United States Economic Forecast - Deloitte* The Hidden Threat to National Security Is Not Enough Workers - WSJ▶ Business* DOGE Can't Do It All. 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Hear from Prof. J. Doyne Farmer, Professor of Complex Systems Science at the University of Oxford, as we explore new modelling approaches designed to better capture the complex and chaotic nature of our climate and economy. We spend a lot of time on this podcast covering the transition to a low carbon economy, which will be driven largely by policies and technological innovation. These policies tend to be based on insights from economics. And our view on the pace of innovation is often informed by expert judgement. But traditional economic models often oversimplify the world, leading to poor policy design. And we tend to underestimate the exponential rate of technological change, making us unduly pessimistic about the transition.  Today's guest has thought a great deal about both these issues. That's why in today's episode we'll be diving into the world of complexity economics and agent-based modelling, which can help us better navigate the risks and opportunities associated with the transition. We'll discuss: How agent-based models are very well suited to modelling complex, non-linear systems, such as the economy; How past innovation cycles can provide invaluable insights on what we might expect to see in the transition; and What the models tell us about the appropriate speed of the transition to a net zero world. To find out more about the Sustainability and Climate Risk (SCR®) Certificate, follow this link: https://www.garp.org/scr For more information on climate risk, visit GARP's Global Sustainability and Climate Risk Resource Center: https://www.garp.org/sustainability-climate If you have any questions, thoughts, or feedback regarding this podcast series, we would love to hear from you at: climateriskpodcast@garp.com Links from today's discussion: Making Sense of Chaos: A Better Economics for a Better World: https://www.penguin.co.uk/books/284357/making-sense-of-chaos-by-farmer-j-doyne/9780241201978 Santa Fe Institute's Office of Applied Complexity: https://www.santafe.edu/applied-complexity/office GARP Climate Risk Podcast with Simon Sharpe: https://www.garp.org/podcast/five-times-faster-cr-240321 GARP Climate Risk Podcast with David Stainforth: https://www.garp.org/podcast/predicting-climate-future-cr-241128 Speaker's Bio(s) Prof. J. Doyne Farmer, Professor of Complex Systems Science, University of Oxford J. Doyne Farmer is Baillie Gifford Professor of Complex Systems Science at the Smith School of Enterprise and the Environment and Director of the Complexity Economics programme at the Institute for New Economic Thinking University of Oxford. He is also External Professor at the Santa Fe Institute and Chief Scientist at Macrocosm. His current research is in economics, including agent-based modelling, financial instability and technological progress. He was a founder of Prediction Company, a quantitative automated trading firm that was sold to UBS in 2006. His past research includes complex systems, dynamical systems theory, time series analysis and theoretical biology. His book, Making Sense of Chaos: A Better Economics for a Better World, was published in 2024. During the 1980s he was an Oppenheimer Fellow and the founder of the Complex Systems Group at Los Alamos National Laboratory. While a graduate student in the 1970s he built the first wearable digital computer, which was successfully used to predict the game of roulette.

******Support the channel****** Patreon: https://www.patreon.com/thedissenter PayPal: paypal.me/thedissenter PayPal Subscription 3 Dollars: https://tinyurl.com/ybn6bg9l PayPal Subscription 5 Dollars: https://tinyurl.com/ycmr9gpz PayPal Subscription 10 Dollars: https://tinyurl.com/y9r3fc9m PayPal Subscription 20 Dollars: https://tinyurl.com/y95uvkao   ******Follow me on****** Website: https://www.thedissenter.net/ The Dissenter Goodreads list: https://shorturl.at/7BMoB Facebook: https://www.facebook.com/thedissenteryt/ Twitter: https://x.com/TheDissenterYT   This show is sponsored by Enlites, Learning & Development done differently. Check the website here: http://enlites.com/   Dr. J. Doyne Farmer is the Director of the Complexity Economics programme at the Institute for New Economic Thinking at the Oxford Martin School, Baillie Gifford Professor in the Mathematical Institute at the University of Oxford and an External Professor at the Santa Fe Institute. His current research is in economics, including agent-based modeling, financial instability and technological progress. His past research includes complex systems, dynamical systems theory, time series analysis and theoretical biology. He was an Oppenheimer Fellow and the founder of the Complex Systems Group at Los Alamos National Laboratory. He is the author of Making Sense of Chaos: A Better Economics for a Better World.   In this episode, we focus on Making Sense of Chaos. We talk about the economy as a complex system, business cycles, simulating the economy, and the housing bubble crises of the 2000s. We discuss the differences between standard economics and complexity economics. We talk about how we can understand inequality, market inefficiencies and crashes, and whether we can prevent financial crises. Finally, we discuss climate economics, how we can solve climate change, and whether we can tackle inequality. -- A HUGE THANK YOU TO MY PATRONS/SUPPORTERS: PER HELGE LARSEN, JERRY MULLER, BERNARDO SEIXAS, ADAM KESSEL, MATTHEW WHITINGBIRD, ARNAUD WOLFF, TIM HOLLOSY, HENRIK AHLENIUS, FILIP FORS CONNOLLY, DAN DEMETRIOU, ROBERT WINDHAGER, RUI INACIO, ZOOP, MARCO NEVES, COLIN HOLBROOK, PHIL KAVANAGH, SAMUEL ANDREEFF, FRANCIS FORDE, TIAGO NUNES, FERGAL CUSSEN, HAL HERZOG, NUNO MACHADO, JONATHAN LEIBRANT, JOÃO LINHARES, STANTON T, SAMUEL CORREA, ERIK HAINES, MARK SMITH, JOÃO EIRA, TOM HUMMEL, SARDUS FRANCE, DAVID SLOAN WILSON, YACILA DEZA-ARAUJO, ROMAIN ROCH, DIEGO LONDOÑO CORREA, YANICK PUNTER, CHARLOTTE BLEASE, NICOLE BARBARO, ADAM HUNT, PAWEL OSTASZEWSKI, NELLEKE BAK, GUY MADISON, GARY G HELLMANN, SAIMA AFZAL, ADRIAN JAEGGI, PAULO TOLENTINO, JOÃO BARBOSA, JULIAN PRICE, EDWARD HALL, HEDIN BRØNNER, DOUGLAS FRY, FRANCA BORTOLOTTI, GABRIEL PONS CORTÈS, URSULA LITZCKE, SCOTT, ZACHARY FISH, TIM DUFFY, SUNNY SMITH, JON WISMAN, WILLIAM BUCKNER, PAUL-GEORGE ARNAUD, LUKE GLOWACKI, GEORGIOS THEOPHANOUS, CHRIS WILLIAMSON, PETER WOLOSZYN, DAVID WILLIAMS, DIOGO COSTA, ALEX CHAU, AMAURI MARTÍNEZ, CORALIE CHEVALLIER, BANGALORE ATHEISTS, LARRY D. LEE JR., OLD HERRINGBONE, MICHAEL BAILEY, DAN SPERBER, ROBERT GRESSIS, IGOR N, JEFF MCMAHAN, JAKE ZUEHL, BARNABAS RADICS, MARK CAMPBELL, TOMAS DAUBNER, LUKE NISSEN, KIMBERLY JOHNSON, JESSICA NOWICKI, LINDA BRANDIN, NIKLAS CARLSSON, GEORGE CHORIATIS, VALENTIN STEINMANN, PER KRAULIS, ALEXANDER HUBBARD, BR, MASOUD ALIMOHAMMADI, JONAS HERTNER, URSULA GOODENOUGH, DAVID PINSOF, SEAN NELSON, MIKE LAVIGNE, JOS KNECHT, ERIK ENGMAN, LUCY, MANVIR SINGH, PETRA WEIMANN, CAROLA FEEST, STARRY, MAURO JÚNIOR, 航 豊川, TONY BARRETT, BENJAMIN GELBART, NIKOLAI VISHNEVSKY, AND STEVEN GANGESTAD! A SPECIAL THANKS TO MY PRODUCERS, YZAR WEHBE, JIM FRANK, ŁUKASZ STAFINIAK, TOM VANEGDOM, BERNARD HUGUENEY, CURTIS DIXON, BENEDIKT MUELLER, THOMAS TRUMBLE, KATHRINE AND PATRICK TOBIN, JONCARLO MONTENEGRO, AL NICK ORTIZ, NICK GOLDEN, AND CHRISTINE GLASS! AND TO MY EXECUTIVE PRODUCERS, MATTHEW LAVENDER, SERGIU CODREANU, BOGDAN KANIVETS, ROSEY, AND GREGORY HASTINGS!

Peter Dickstein is a 35-year business leader (Founder, CEO, CFO, and strategy advisor). He is Founder of ShadyPower Technologies, developer of a proprietary, patent-pending IOT technology platform for climate-sustainable, enhanced comfort outdoor work and living. He is Co-Founder of TAPS, a machine-learning consultancy focused on sales lead optimization and churn prevention. He is Chairman (Emeritus) and Co-Founder of Solful (www.solful.com), a California-based branded destination cannabis dispensary company and a guest lecturer at universities including the Haas School of Business at UC Berkeley. He has served in CEO, Chairman, and other C-Suite roles for IOT, SAAS, cleantech, and travel insurance companies. In 1999 Peter founded and served as CEO of eProsper, Inc. (ultimately acquired by Morgan Stanley in 2018 for $900MM) whose patented, SAAS capitalization management system (“CapMx”) became the industry gold standard in the early 2000s and is used today by more than 6,000 venture-funded companies and their corporate law firms. Peter served as CFO for several medical device and technology companies including TruMed Systems, Inc., EndoTex Interventional Systems (acquired by Boston Scientific) and Atrionix (acquired by Johnson & Johnson). He was an EIR at Los Alamos National Laboratory where he identified and helped commercialize technology including Acoustic Cytometry Systems (acquired by Thermo Fisher Scientific) and architected the Los Alamos Venture Acceleration Fund. In the early 90s Peter negotiated a $500MM vendor financing facility for Pyxis Corporation (ultimately acquired by Becton Dickinson for $12BB) with GE Capital that rapidly accelerated Pyxis' market penetration and provided non-dilutive growth capital in lieu of equity. In addition to his general management roles, Peter has initiated, organized, negotiated, and completed numerous equity, debt, and M&A transactions with angel, institutional and strategic investors, and lenders. He has managed functional areas including product development and engineering, sales, service, finance and administration, and external relationships with investors, contract manufacturers, investment bankers, banks, attorneys, and auditors. Peter has served on the boards of Friends of the Urban Forest, the San Francisco Day School, and multiple companies. He is a dual citizen of the United States and Germany. He holds a B.A. from the University of Pennsylvania and a M.B.A. from The Wharton School.

In an embarrassing turn of events, independent scientists Bernd Franke and Dr. Arjun Makhijani have provided Tewa Women United and the public with the analyses that the Department of Energy, National Nuclear Security Administration, Los Alamos National Laboratory and the Environmental Protection Agency would not – that the four flanged waste tritium containers may not need to be vented because they may not contain explosive materials. DOE, NNSA and LANL did not follow the regulations to determine whether the venting was necessary and EPA, as a regulatory agency, did not either. Community members downwind and downstream of the proposed venting have been traumatized by four years of maybe yes, maybe no, mixed DOE messages. --- Support this podcast: https://podcasters.spotify.com/pod/show/ccnsupdate/support

Richard Dolan, veteran researcher and author joins us in this second episode of Classics Remastered. Again, we dig deep into the story of Bob Lazar, a scientist who gained worldwide attention in 1989 when he claimed he worked at a classified facility called S-4 near Area 51 in Nevada, where he allegedly reverse-engineered extraterrestrial spacecraft for the US government. Lazar asserted that he studied propulsion systems of nine alien spacecraft that used an element called "Element 115" as fuel, which at the time was undiscovered but was later synthesized in 2003. His explosive allegations about UFOs, alien technology, and government secrecy sparked intense debate in the UFO research community and mainstream media. While working at Los Alamos National Laboratory was confirmed, many of Lazar's other credentials and claims have been disputed. His story gained renewed interest following his appearance in the 2018 documentary "Bob Lazar: Area 51 & Flying Saucers" and interviews with Joe Rogan, making him a central figure in discussions about government UFO programs, Area 51 conspiracies, and alleged alien technology.If you enjoy the show, please leave a 5 star review..!!To see the VIDEO of this episode, click or copy link - http://youtu.be/y-qnOWI75fU❤️ EXCLUSIVE FREE MERCH INCLUDED & BEHIND-THE-SCENES ONLY FOR MY SUPPORTERS ON PATREON ➔ https://www.patreon.com/paradigm_shifts/membershipVisit my website with Articles, Videos, and Podcast direct links - https://strangeparadigms.comBecome a supporter of this podcast: https://www.spreaker.com/podcast/strange-and-unexplained--5235662/support.

In this episode of Classics Remastered, we dig deep into the story of Bob Lazar, a scientist who gained worldwide attention in 1989 when he claimed he worked at a classified facility called S-4 near Area 51 in Nevada, where he allegedly reverse-engineered extraterrestrial spacecraft for the US government. Lazar asserted that he studied propulsion systems of nine alien spacecraft that used an element called "Element 115" as fuel, which at the time was undiscovered but was later synthesized in 2003. His explosive allegations about UFOs, alien technology, and government secrecy sparked intense debate in the UFO research community and mainstream media. While working at Los Alamos National Laboratory was confirmed, many of Lazar's other credentials and claims have been disputed. His story gained renewed interest following his appearance in the 2018 documentary "Bob Lazar: Area 51 & Flying Saucers" and interviews with Joe Rogan, making him a central figure in discussions about government UFO programs, Area 51 conspiracies, and alleged alien technology.If you enjoy the show, please leave a 5 star review..!!To see the VIDEO of this episode, click or copy link - http://youtu.be/a96LKoz75aU❤️ EXCLUSIVE FREE MERCH INCLUDED & BEHIND-THE-SCENES ONLY FOR MY SUPPORTERS ON PATREON ➔ https://www.patreon.com/paradigm_shifts/membershipVisit my website with Articles, Videos, and Podcast direct links - https://strangeparadigms.comBecome a supporter of this podcast: https://www.spreaker.com/podcast/strange-and-unexplained--5235662/support.

Recorded live at a recent Cleared Job Fair, this recruiter roundtable discussion features Leslie Murphy with ANSER, Kearstin McGinnis with TekSynap, and Larry Thompson with Los Alamos National Laboratory. Moderated by veteran and former recruiter Bob Wheeler, the panel talks about the hiring process, how cover letters have become relevant again, why the job posting is your road map, and more.12:02 When applying, look at the minimum requirements are and then tell how your skills, experience, and education have prepared you to fill that role.16:00 A recruiter who looks at your resume for seven seconds is making a no or maybe decision in that timeframe. 16:50 Should you put your security clearance on your resume?Find complete show notes at: https://clearedjobs.net/cleared-job-search-tips-from-anser-teksynap-and-lanl-podcast/_ This show is brought to you by ClearedJobs.Net. Have feedback or questions for us? Email us at rriggins@clearedjobs.net. Sign up for our cleared job seeker newsletter. Create a cleared job seeker profile on ClearedJobs.Net. Engage with us on LinkedIn, Facebook, Instagram, X, or YouTube. _

A large economy is one of the best examples we have of complex dynamics. There are multiple components arranged in complicated overlapping hierarchies, out-of-equilibrium dynamics, nonlinear coupling and feedback between different levels, and ubiquitous unpredictable and chaotic behavior. Nevertheless, many economic models are based on relatively simple equilibrium principles. Doyne Farmer is among a group who think that economists need to start taking the tools of complexity theory seriously, as he argues in his recent book Making Sense of Chaos: A Better Economics for a Better World.Support Mindscape on Patreon.Blog post with transcript: https://www.preposterousuniverse.com/podcast/2024/10/21/293-doyne-farmer-on-chaos-crashes-and-economic-complexity/J. Doyne Farmer received his Ph.D. in physics from the University of California, Santa Cruz. He is currently Director of the Complexity Economics program and Baillie Gifford Professor of Complex Systems Science at the University of Oxford, External Professor at the Santa Fe Institute, and Chief Scientist at Macrocosm. He was the founder of the Complex Systems Group in the Theoretical Division at Los Alamos National Laboratory, and co-founder of The Prediction Company.Web siteOxford web pageGoogle Scholar publicationsAmazon author pageWikipediaSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Lou DiVizio starts the show out with some headlines from around the state including a federal judge's ruling that the federal government violated environmental regulations by approving nuclear pit production at Los Alamos National Laboratory. Then, Executive Producer Jeff Proctor sits down with a journalism professor and a criminal defense lawyer to consider what's next for the Albuquerque Journal, following the arrest and jailing of its executive editor after a misdemeanor shoplifting charge. First, Jeff asks UNM journalism professor and reporter Gwyneth Doland what sort of ethical conundrum has been created for the Journal's publisher and owner. Later, Jeff asks attorney Kelly Golightley to highlight the people who are typically charged for shoplifting and consider what a 10-day sentence means for the average person. Host: Lou DiVizio Segments: Turmoil at ABQ Journal After Top Editor Jailed Correspondent: Jeff Proctor Guests: Gwyneth Doland, University of New Mexico Professor and NMiF Correspondent Kelly Golightley, Criminal Defense Lawyer How Politicians and Journalists Discuss Retail Crime in NM Correspondent: Jeff Proctor Guests: Gwyneth Doland, University of New Mexico Professor and NMiF Correspondent Kelly Golightley, Criminal Defense Lawyer  For More Information: Albuquerque Journal editor on leave after shoplifting charge in Rio Rancho – Albuquerque Journal 

Welcome to a special episode of the Pre-Accident Podcast, hosted temporarily by Jeff Lith. Join Jeff as he interviews Todd Conklin, the most special guest of the pod, and delves into Todd's fascinating journey from a small town in Kansas to becoming a leading voice in human performance and organizational change. In this episode, Todd shares his experiences growing up in Kansas and Colorado, his educational journey, and his early career, including his significant work at Los Alamos National Laboratory. They discuss the evolution of human performance principles, the impact of Everett Rogers' diffusion of innovation theory, and the challenges of organizational change. Listen in as Todd and Jeff explore the importance of thinking and acting our way into change, the precarious nature of organizational transformations, and the critical role of leadership in maintaining progress. This episode is packed with insights, practical advice, and a powerful concluding list of key principles for implementing change.

The increasing demand for power is prompting challenges from a number of tribes who say the means to transmit that power is harming culturally significant tribal land. The Tohono O'odham, Hopi, Zuni, and San Carlos Apache tribes were dealt a legal setback by the U.S. Supreme Court earlier this year in their opposition to a proposed $10 billion transmission line through a pristine Arizona canyon. And pueblos and other tribes say they are concerned about additional transmission capacity planned to boost power at the Los Alamos National Laboratory in New Mexico. In both cases, tribal officials say the proposals did not adequately take cultural and archaeological significance into consideration. GUESTS Stephanie Stringer, deputy manager for business, security, and mission for the National Nuclear Security Administration's Los Alamos field office Reyes DeVore (Jemez Pueblo), project manager for the Pueblo Action Alliance

To discover what would happen if an asteroid were to strike a large body of water, Dr. Galen Gisler led a team of scientists who used high performance computing facilities at Los Alamos National Laboratory to calculate and visualize a 3-D model of an asteroid entering the Earth's atmosphere over one of the world's oceans. These efforts won them the Best Visualization and Data Analytics Showcase award at Supercomputing 2016. Reality is that what happens depends upon the mass, size, speed, angle of approach, and composition of the impacting object. Galen's group of scientists documented the hunch that since an asteroid strikes the water at a single point, it only effects the immediate region around the impact point, whereas to create a tsunami, you need something like an under water landslide which disturbs an entire water column from the ocean floor to the surface.

This week Lou DiVizio introduces two segments from Our Land's Laura Paskus. First, Laura sits down with a historian and a Santa Fe County Commissioner who oppose federal plans to build a new transmission line across the Caja del Rio to Los Alamos National Laboratory. Laura asks what harm this transmission line will cause to the area. Then, Laura talks with Mark Mitchell, former governor of the Pueblo of Tesuque, about government-to-government consultation and how federal officials have handled input from the pueblo. Host: Lou DiVizio Segments: How Federal Power Line Project Can Harm Wildlife in the Caja del Rio Correspondent: Laura Paskus Guests: Hilario Romero, Former State Historian Anna Hansen, Santa Fe County Commissioner, District 2 Former Pueblo Governor Speaks Against LANL Power Line Correspondent: Laura Paskus Guest: Mark Mitchell, Former Governor, Pueblo of Tesuque For More Information: Tribes ‘ignored' as Forest Service approves controversial Caja del Rio transmission project – Source New Mexico 

Bob Lazar is a physicist who worked at Los Alamos National Laboratory in New Mexico, and also on reverse engineering extraterrestrial technology at a site called S-4 near the Area 51 Groom Lake operating location. Jeremy Corbell is a contemporary artist and documentary filmmaker. Watch the documentary "Bob Lazar: Area 51 & Flying Saucers" now streaming on Netflix. A SPECIAL PRESENTATION. Become a supporter of this podcast: https://www.spreaker.com/podcast/total-disclosure-ufos-coverups-conspiracy--5975113/support.

For this episode, The Gateway is happy to welcome Dr. Doga M Kurkcuoglu, a theoretical physicist at Fermilab. His current research interests are quantum technologies, quantum simulation, quantum algorithms and machine learning. Throughout his career, Dr. Kurkcuoglu has published in many subdisciplines of quantum physics. After completing Ph.D. program at School of Physics at Georgia Institute of Technology, he worked as Assistant Professor at Georgia Southern University. Then, he worked as postdoctoral researcher at Los Alamos National Laboratory, and finally postdoctoral researcher at Fermilab, where he was promoted to staff scientist.

OCTOBER MEN'S RETREAT: https://renofmen.com/retreat Tony Heller is a former Geologist at Los Alamos National Labs and the founder of RealClimateScience.com, pulling pack the curtain on junk science. Topics Discussed: Tony's background in climate scienceThe discrepancy between government data and reportsClimate shifts during the 20th centuryAppeals to authority in the engineering world;Mann's hockey stick graph; Hansen's doom prophecyOvercoming the fear of climate changeArctic sea ice and polar bear extinctionWATCH ON YOUTUBE:https://youtu.be/4SaaD7t70Sk CONNECT WITH TONYhttps://www.youtube.com/@TonyHeller https://twitter.com/tonyclimatehttps://realclimatetools.com/MENTIONED IN THIS PODCAST"My Gift to Climate Alarmists" video"Climate: The Movie"https://www.cfact.org/https://www.climatedepot.com/SPONSORShttps://obrienfitnesslifestyle.comUse code RENOFMEN to get 10% off any online training package.LINKShttps://x.com/renofmenhttps://instagram.com/renofmenhttps://youtube.com/@renofmen

J. Doyne Farmer is Director of the Complexity Economics Programme and Professor of Complex Systems Science at the University of Oxford. He is also External Professor at the Santa Fe Institute and Chief Scientist at Macrocosm. He was a founder of Prediction Company, a quantitative automated trading firm that was sold to UBS in 2006. His book, Making Sense of Chaos: A Better Economics for a Better World, was published in 2024. During the 1980s he was an Oppenheimer Fellow and the founder of the Complex Systems Group at Los Alamos National Laboratory. While a graduate student in the 1970s, he built the first wearable digital computer, which was successfully used to predict the game of roulette. This podcast covers what chaos theory is, what complexity science is, how economists model the economy, and much more.    Follow us here for more amazing insights: https://macrohive.com/home-prime/ https://twitter.com/Macro_Hive https://www.linkedin.com/company/macro-hive

Scientists have observed that in nature, all things scale with size in a way that is mathematically predictable. Similar scaling laws hold for things like growth and lifespan. As theoretical physicist Geoffrey West explains, larger mammals generally live longer because of the inverse relationship between body size and the rate at which cells are damaged. By having this theory of scaling laws, “you can determine what the parameters are, the knobs that you could conceivably turn to change that lifespan,” says West. Instead of living to be 100 years old, humans could someday hack our cells to last for two centuries. --------------------------------------------------------------- GEOFFREY WEST: Geoffrey West is a theoretical physicist whose primary interests have been in fundamental questions in physics and biology. West is a Senior Fellow at Los Alamos National Laboratory and a distinguished professor at the Sante Fe Institute, where he served as the president from 2005-2009. In 2006 he was named to Time's list of “The 100 Most Influential People in the World.” Geoffrey West is the author of “Scale: The Universal Laws of Life, Growth, and Death in Organisms, Cities, and Companies”, find it at https://amzn.to/2UpdHi4 ---------------------------------------------------------------------------------- TRANSCRIPT: GEOFFREY WEST: All things scale in a very predictable way and they scale in a way that's non-linear. We developed this very elegant theory that what these scaling laws are reflecting are in fact the generic universal mathematical and physical properties of the multiple networks that make an organism viable and allow it to develop and grow. I think it's one of the more remarkable properties of life actually. Just taking mammals, the largest mammals, the whale, in terms of measurable quantities, is actually a scaled up version of the smallest mammal, which is actually the shrew. They are scaled versions of one another. If you have this theory of scaling laws, you can determine what the parameters are, the knobs that you could conceivably turn to change that lifespan. So it's a fantastic effect, it's a huge effect. If you have this theory of networks underlying these scaling laws, manifesting themselves as scaling laws, you first ask, you know, is there a scaling law for lifespan? Every time you double the size of an organism, you would expect to double the amount of metabolic energy you need to keep that organism alive. Quite the contrary, you don't need twice as much metabolic energy. Systematically you only need roughly speaking 75% as much. So there's this kind of systematic 25% savings. Metabolic rate simply means how much energy or how much food does an animal need to eat each day in order to stay alive. Everybody's familiar with that as sort of roughly 2000 food calories a day for a human being. So here's this extraordinary complex process, yet it scales in a very simple way. Life span also increases following these quarter power scaling laws. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Payton explores the case of Tara Calico, a girl who mysteriously vanished while on a bike ride in New Mexico.  Case Sources: People - https://people.com/crime/tara-calico-polaroid-photo-true-story/  The Mirror - https://www.mirror.co.uk/news/us-news/chilling-polaroid-picture-gagged-teenager-29407909?int_source=amp_continue_reading&int_medium=amp&int_campaign=continue_reading_button#amp-readmore-target The FBI - https://www.fbi.gov/wanted/kidnap/tara-leigh-calico  KOB 4 - https://www.kob.com/new-mexico/4-investigates-new-leads-in-the-tara-calico-case/ News Bulletin - https://www.news-bulletin.com/news/35-years-later-tara-calico-disappearance/article_40c128eb-b548-59e0-8783-2a5f54b7c4f9.html KOAT Action News 7 - https://www.koat.com/article/tara-calico-case-update/44185576 News Nation - https://www.newsnationnow.com/missing/tara-calico/ Fox News - https://www.foxnews.com/us/new-mexico-authorities-identify-suspects-1988-cold-case-disappearance-19-year-old-tara-calico.amp All That's Interesting - https://allthatsinteresting.com/mysterious-disappearances Thought Catalog - https://thoughtcatalog.com/jordan-windnagle/2020/03/heres-everything-you-need-to-know-about-the-unsolved-case-of-tara-calico/ Los Alamos National Laboratory - https://mission.lanl.gov/ The Line Up - https://the-line-up.com/unsolved-mysteries-episodes-solved Clovis News Journal - https://newspaperarchive.com/other-articles-clipping-jun-29-1990-378015/  Learn more about your ad choices. Visit podcastchoices.com/adchoices

In the 1970's, J. Doyne Farmer built the first wearable computer which he used to predict the game of roulette. While this didn't make him particularly popular in casinos, it did mark the beginning of a glittering scientific career in complexity and systems theory, as well as in theoretical physics and biology. And, along the way, Farmer founded a quantitative automated trading firm that was sold to UBS in 2006 as well as working for a while as an Oppenheimer Fellow at Los Alamos Labs. So when a guy as smart as Farmer - who now teaches both at Oxford and at the Santa Fe Institute — turns his big brain to economics, we should take note. In his new book, Making Sense of Chaos, Farmer explains how we can get to a “better economics for a better world” through what he calls complex economics. As a fusion of big data analysis and behavioral economics, Farmer is navigating a third economic way between the scylla of traditional free market economics and the charybdis of de-growth economics. Seriously smart stuff from one the world's brainiest men. J. Doyne Farmer is Director of the Complexity Economics programme at the Institute for New Economic Thinking at the Oxford Martin School, Baillie Gifford Professor of Complex Systems Science at the Smith School for Enterprise and the Environment, University of Oxford, External Professor at the Santa Fe Institute, and Chief Scientist at Macrocosm. His current research is in economics, including agent-based modeling, financial instability and technological progress. He was a founder of Prediction Company, a quantitative automated trading firm that was sold to UBS in 2006. His past research includes complex systems, dynamical systems theory, time series analysis and theoretical biology. During the 1980s he was an Oppenheimer Fellow and the founder of the Complex Systems Group at Los Alamos National Laboratory. While a graduate student in the 1970s he built the first wearable digital computer, which was successfully used to predict the game of roulette.Named as one of the "100 most connected men" by GQ magazine, Andrew Keen is amongst the world's best known broadcasters and commentators. In addition to presenting KEEN ON, he is the host of the long-running How To Fix Democracy show. He is also the author of four prescient books about digital technology: CULT OF THE AMATEUR, DIGITAL VERTIGO, THE INTERNET IS NOT THE ANSWER and HOW TO FIX THE FUTURE. Andrew lives in San Francisco, is married to Cassandra Knight, Google's VP of Litigation & Discovery, and has two grown children.Keen On is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit keenon.substack.com/subscribe

Jurs has been on a 30-year worldwide trek to join elders, activists, and diverse communities to ceremonially bury Earth Treasure Vases around the planet in service to Gaia. This practice is deeply rooted in the feminine, honoring indigenous traditions, and the teachings of an embodied, engaged, sacred activism dedicated to global healing and collective awakening. Cynthia Jurs is a Dharmacharya in the Order of Interbeing of Zen Master Thich Nhat Hanh. In 2018, she was made an Honorary Lama in recognition of her dedication in the practice of Earth Treasure Vases and her commitment in relationship with elders, activists, and diverse communities to ceremonially bury the clay vases all around the planet in service to Gaia. Jurs offers monthly full moon meditations, retreats, and pilgrimages through the Gaia Mandala Global Healing Community. She is the author of: Summoned by the Earth: Becoming a Holy Vessel for Healing Our World (Prospecta Press 2024)Interview Date: 5/24/2024 Tags: Cynthia Jurs, Earth Treasure Vases, Tibetan clay vases, Thich Nhat Hanh, Charok Rinpoche, Los Alamos National Laboratory, Gaia Mandala Global Healing Community, full moon meditations, Ganges, samsara, Buddhist Dakini Tara, The Buddha, Personal Transformation, Ecology/Nature/Environment, Community, Indigenous Wisdom, Buddhism, Global Culture

You made it to the end of July, and we have a new episode of OT Kung Fu for you to celebrate and gear up before a new month begins tomorrow! Jen and Sandi are joined on this episode by Dr. Todd Conklin, author of Pre-Accident Investigations: An Introduction to Organizational Safety  as well as host of his organizational safety podcast of the same name. From his website:      "Todd Conklin spent 25 years at Los Alamos National Laboratory as a Senior Advisor for Organizational and Safety Culture.  Los Alamos National Laboratory is one of the world's foremost research and development laboratories; Dr. Conklin has been working on the Human Performance program for the last 15 years of his 25-year career.  It is in this fortunate position where he enjoys the best of both the academic world and the world of safety in practice.          Conklin holds a Ph.D. in organizational behavior from the University of New Mexico.  He speaks all over the world to executives, groups and work teams who are interested in better understanding the relationship between the workers in the field and the organization's systems, processes, and programs.  He has brought these systems to major corporations around the world.  Conklin practices these ideas not only in his own workplace, but also in the event investigations at other workplaces around the world.  Conklin's best selling book, Pre-Accident Investigations: An introduction to Organizational Safety is a best selling book on safety.  Conklin has several other books and a huge podcast following for his twice-weekly podcast of the same name.  Conklin defines safety at his workplace like this:  'Safety is the ability for workers to be able to do work in a varying and unpredictable world.'" Listen along as they talk about the 5 HOP principles mentioned in Dr.Conklin's book and how leadership mindsets can flourish within those principles, what simply having confidence can do for you, "why?" versus "how?" and what kind of leader flocks to each question, and more! Thank you so much for joining us on this episode, Dr. Conklin! You can find all of Dr. Conklin's books and his podcast on his page on HOP Hub here. Dr. Conklin and Jen will be speaking at the next Conklin Conference in Santa Fe, NM from September 10th-September 12th 2024. You can sign up for the conference HERE. Thank you so much for listening! Make sure to check out the video cast under the "Videos" tab! Connect with Jen on LinkedIn and visit her website Own Up!® Connect with Sandi on LinkedIn and visit her website Satori Consulting, Inc! Have a comment, question, or topic for Sandi and Jen? Leave us a comment on LinkedIn! 

What is the future of WIPP, which was supposed to be a pilot project, especially with more plutonium pit production planned at Los Alamos National Laboratory? How long will WIPP remain open and will it be expanded? Those are some of the questions advocates have for a town hall that will take place on July 22nd with top officials from the U.S. Department of Energy's National Nuclear Security Administration and its Office of Environmental Management.

What is the future of WIPP, which was supposed to be a pilot project, especially with more plutonium pit production planned at Los Alamos National Laboratory? How long will WIPP remain open and will it be expanded? Those are some of the questions advocates have for a town hall that will take place on July 22nd with top officials from the U.S. Department of Energy's National Nuclear Security Administration and its Office of Environmental Management.

Jonathan Ventura, a career coach at Montana State University, discusses his efforts to bring talented students into the nuclear weapons complex and national security field. He emphasizes the importance of helping students understand the wide range of opportunities available to them, regardless of their academic discipline. Ventura also highlights the need for employers to communicate the importance of their mission and the benefits they offer, such as educational support. He shares the university's initiatives, including career fairs, capstone projects, and networking events, to connect students with potential employers. Ventura also expresses his wishes for increased collaboration between universities and national labs, the continued scientific excellence of the labs, and a good snow season in Montana.Mr. Ventura's 35-year career in national security has spanned several organizations including: the ANSER Corporation, the Department of Energy, Office of the Deputy Administrator for Weapons, and Los Alamos National Laboratory, Office of the Principal Associate Director Weapons Program. At the Department of Energy, he served as the Executive Officer to six Assistant Secretaries handling many of the day-to-day congressional interactions and interagency relationships. While at Los Alamos, he was the director of the Office of Nuclear and Military Affairs which oversaw many of the interactions with the Air Force Missile Wings in Montana, Wyoming and North Dakota. He also managed Los Alamos' educational efforts at the Nation's service academies. He served as editor of the lab's award-winning national security magazine, National Security Science, which he helped redesign to make it more user friendly.00:00 Introduction and Background of Jonathan Ventura01:29 Helping Students Find Meaningful Work in National Security09:46 Advice for Success in Recruiting and Retaining Talent14:08 Opportunities for Students Without STEM Degrees20:07 The Need for a Network of Retired Professionals in Universities25:39 The Importance of Career Fairs and Early Preparation29:02 The Scientific Excellence of National Labs31:33 Jonathan Ventura's Three Wishes

Special Announcement: Transform Your Business with AICheck below! Is OpenAI's New Framework a Glimpse into the Future of AI?Are we prepared for AI systems that can outperform PhD holders and entire organizations?In this episode of Leveraging AI, we explore the latest developments in AI, from OpenAI's bold new framework to Microsoft's strategic retreat from OpenAI's board. We'll also dive into intriguing collaborations and advancements, such as OpenAI's partnership with Los Alamos National Laboratory, and the potential impacts of AI on global energy consumption.Special Announcement: Transform Your Business with AIExciting news! Since April of last year, Multiplai has been offering the AI Business Transformation course, helping hundreds of companies revolutionize their operations with AI. While the instructor-led course requires a time commitment, we are thrilled to announce a new offline, self-paced version of the course!What's Included in the Self-Paced Course:Eight hours of comprehensive video content.Step-by-step guidance on implementing AI across various business aspects.Hands-on experimentation and exercises.Tools, use cases, and a complete checklist for successful AI integration.Ready to transform your business at your own pace? Access the course through the link in the show notes and begin your AI journey today!https://multiplai.ai/self-paced-online-course/ About Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Free AI Consultation: https://multiplai.ai/book-a-call/ If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

Accelerating technology and global interconnections hold more promise – and more peril – than any other time in human history. How can we shape an economy to better address the complex problems facing the world?Many books have been written about Doyne Farmer and his work. Making Sense of Chaos is his personal manifesto for doing economics better.As a complex systems scientist and entrepreneur, Doyne has pioneered many of the fields that define the scientific agenda of our times: chaos, complexity, artificial life, wearable computing, and more.A former Oppenheimer Fellow and founder of the Complex Systems Group at Los Alamos National Laboratory, Doyne built the first wearable digital computer while still a graduate student, and successfully used it to predict the game of roulette.#RSAeconomyBecome an RSA Events sponsor: https://utm.guru/udI9xDonate to The RSA: https://utm.guru/udNNBFollow RSA Events on Instagram: https://instagram.com/rsa_events/Follow the RSA on Twitter: https://twitter.com/RSAEventsLike RSA Events on Facebook: https://www.facebook.com/rsaeventsofficialListen to RSA Events podcasts: https://bit.ly/35EyQYUJoin our Fellowship: https://www.thersa.org/fellowship/join

In 1950 Enrico Fermi sat down to have lunch with his friends and colleagues at Los Alamos National Laboratory in New Mexico. While discussing UFOs, Enrico asked a simple question: if aliens exist, where are they? This conflict between the high likelihood of alien life and the lack of evidence of such confounds scientists to this day. Tune in as Carter guides us through the science and attempts to resolve the ‘Fermi paradox'. Conspiracy Theories is now on Instagram @theconspiracypod and TikTok @conspiracy.pod! Follow us to keep up with the show and get behind-the-scenes updates from Carter and the team. Learn more about your ad choices. Visit podcastchoices.com/adchoices

This is PART 2 of my interview with Barrie Schwortz, the Official Documenting Photographer for the 1978 Shroud of Turin Science Team. Barrie had been asked to join the Shroud Science team due to his extensive specialized skills in photography and his subsequent contract work with the Los Alamos National Laboratory, analyzing films and photos of U.S. Government atomic bomb blasts. Today, let's continue with the interview that I began with Barrie Schwortz in PART 1 and hear more about the knowledge that he gained in working with the Shroud of Turin science experts, and what they learned and discovered about this ancient cloth.

In this engaging episode, Todd revisits the genesis and evolution of the 'Fundamentals of Human Performance' class developed over 20 years ago at the Department of Energy at Los Alamos National Laboratory with teammates Martha Costa, Andrea Baker, and Bob Edwards. Together they reflect on the journey of this revolutionary concept, its global influence on safety practices, and the power of innovative thinking within a small group of committed individuals. The conversation provides an intimate look at the origin of their ideas, their growth, and their impact. It's more than a trip down memory lane; it's a testament to their ongoing commitment to global safety practices and standards. Todd and his guests also delve into their transition from operational learning to 'Learning Teams' within their organization. Despite skepticism and pushback, they highlight their struggles, successes, and the lessons learned in implementation. They candidly discuss the stumbling blocks faced, such as blame culture, and how they ultimately successful in overcoming these issues. This segment encapsulates their views on accountability as a group effort, their learning experiences, and the evolution of their methodology over time. The episode also hones in on some of their most groundbreaking solutions, including innovative ways to address efficiency issues. These industry trailblazers share their unforgettable 'eureka moments', the initial frustrations, and the broad impact they have had on an array of workplaces. The conversation intertwines their professional achievements with their heartfelt personal sentiments, providing listeners with a deeply moving and inspiring journey. The episode winds up with a discussion on the joy of bringing about change and how credit becomes secondary when the true reward is the ability to make a difference. Tune in for a mix of thought-provoking stories, personal reflections, and insights into a journey of professional innovation that changed the dynamics of safety practices globally.

Coming down from the buzz of the Oscars, we're taking a look at Christopher Nolan's award-winning film 'Oppenheimer.' It chronicles the life and legacy of J. Robert Oppenheimer, the first director of Los Alamos National Laboratory and the so-called "Father of the Atomic Bomb." The movie does not shy away from science — and neither do we. We talked to current scientists at Los Alamos about the past and present science of nuclear weapons like the atomic bomb.Read more about the Manhattan Project.Have other historical science or science in pop culture you want us to cover? Email us at shortwave@npr.org — we'd love to hear from you!Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

How much can you edit a photo before it stops becoming true? That's the question CNET tech reporter Stephen Shankland recently asked in the opening lines of his story, How Close is that Photo to the Truth: What to Know in the Age of AI.   The article, which examines digital photography and advanced smartphone image processing in the era of AI, reaches beyond the polarizing visual minefield of generative AI by delving into aspects of this technologythat's been quietly pre-baked into most every camera on the market these days.   The sophisticated processing under the hood of your digital camera is our jumping off point for a wide-ranging discussion with Shankland that touches on many aspects of the digital workflow, before scaling the slippery slopes of generative AI.   A few of the many points we cover include: Comparing the three primary generative AI platforms and discussing their differences, an assessment of AI manipulations and deepfakes, the ways in which a proliferation of camera phones can serve as a buttress against fakery, and the factor of a social contract in weighing the veracity of an image.   Today's AI landscape seems to be morphing by the minute, a reality that's reflected here with bonus content! Barely a week after our original discussion, Open AI's new text to video application, Sora, was released to a tidal wave of interest, so we got Shankland back on mic. Stay to the end to hear our first impressions of this new technology and listen closely to discover how an AI bot got the last word in our chat.   Guest: Stephen Shankland Top shot © Allan Weitz, https://www.allanweitzdesign.com   Episode Timeline:   2:22: How much can a photo be edited before it stops “becoming” true? Plus, the digital processing that goes on under the hood of your digital camera.   7:06: The sophisticated processing in your camera phone and how the resulting images compare to pictures made with a 35mm digital camera.   13:02: How much digital editing is too much and what's the least amount of image adjustments possible before a photograph stops “being true.”   18:22: The matter of generative AI manipulations and deepfakes, the democratization of altering images, and how the proliferation of camera phones can serve as a buttress against fakery.   23:24: Comparing the three big generative AI platforms Stephen has worked with—Open AI's Dall-E, Google's ImageFX, and Adobe's Firefly—and discussing how they differ, plus Allan's impressions about working with Adobe Firefly, and how much of an AI-generated image is truly one's own.   31:58: Prompt engineering, the bias of training data, the role of having fun when assessing the creative aspects of generative AI, and the factor of a social contract into reading the veracity of an image.   40:22: Episode Break   41:30: The potential for career opportunities in prompt engineering, new educational programs to arise from these new technologies, plus reasons why illustration is the creative area most threatened by AI.   48:27: The democratization of creative tasks due to computer technology, and the value of having a unique style or vision to creative success, plus the advantages of AI for stylistic   52:08: Ethical considerations, intellectual property rights, and copyright concerns in relation to AI generation.   57:03: In-camera authentication, content credentialing, and following the provenance of an image to be assured of its trustworthiness, plus whether this technology will ever show up in camera phones.   1:04:24: Episode bonus: Stephen's first impressions of Open AI's new text to video application, Sora.     Guest Bio: Stephen Shankland has covered technology, computing, and digital imaging as a principal writer and reporter for CNET since 1998. He's also a professional photographer who's particularly intrigued by new trends in AI. Stephen stumbled into journalism as a fledgling science reporter covering the Los Alamos National Laboratory. His first, and biggest, scoop was about radioactive kitty litter discovered at the town dump.     Stay Connected: Stephen Shankland's Instagram: https://www.instagram.com/stshank/ Stephen Shankland's Twitter: https://twitter.com/stshank/ Stephen Shankland's Facebook: https://www.facebook.com/people/Stephen-Shankland/ Stephen Shankland's Flickr: https://www.flickr.com/photos/shankrad/ Stephen Shankland's MuckRack: https://muckrack.com/stshank Stephen Shankland's CNET profile: https://www.cnet.com/profiles/shankland/ Stephen Shankland's CNET article on AI: https://www.cnet.com/tech/mobile/features/how-close-is-that-photo-to-the-truth-what-to-know-in-the-age-of-ai/  Open AI's Chat GPT: https://chat.openai.com/ Open AI's Dall-E: https://openai.com/dall-e-2 Open AI's Sora: https://openai.com/sora Panasonic Lumix Cameras: https://www.bhphotovideo.com/c/buy/panasonic-lumix-mirrorless-cameras/ci/39961

Col. John Alexander is a former Army Special Forces Commander with an impeccable career in leadership across multiple agencies and programs within the U.S. intelligence community. Alexander lead Special Forces teams as an Officer during the Vietnam War. He would later serve as the Chief of Human Technology at INSCOM and Army Inspector General. Alexander's work inspired and was heavily featured in the book and adapted film "Men Who Stare at Goats." He is widely credited with leading the way in researching non-lethal weapons and military applications of the paranormal. In this episode, Alexander recounts his experience in Vietnam and the brutality of jungle warfare. Through his experience, he began to see the power of coincidence and intuition. This led him to pursue greater knowledge via the Army Intelligence and Security Command. It was there he helped transform the United State's approach to the paranormal. Post retirement, Alexander became the Program Manager for Non-Lethal Defense at Los Alamos National Laboratory–the same lab responsible for the creation of the Atomic Bomb. Today, he is a successful Author and continues his work as a researcher. Shawn Ryan Show Sponsors: https://lairdsuperfood.com - USE CODE "SRS" https://shopify.com/shawn https://babbel.com/srs https://meetfabric.com/shawn https://moinkbox.com/shawn https://hvmn.com/shawn https://ShawnLikesGold.com | 855-936-GOLD #goldcopartner Col. John Alexander Links: Books - https://b.link/b18rv35v Please leave us a review on Apple & Spotify Podcasts. Vigilance Elite/Shawn Ryan Links: Website | Patreon | TikTok | Instagram | Download Learn more about your ad choices. Visit podcastchoices.com/adchoices

The boys pick back up on the story of The Manhattan Project, this week focusing on Oppenheimer's "Atomic Dream Team", the development of the Los Alamos National Laboratory, and the United States' unrelenting efforts (and gruesome mishaps) in weaponizing nuclear technology.